基于AIE-SEG模型的十大孔兑地区树种识别及其空间格局OA

Against the backdrop of rigid water resources constraints coexisting with ecological restoration demands in the Ten Tributaries area,accurately identifying artificial vegetation types and their spatial pat-terns at the regional scale is of great scientific value and practical significance.Based on the satellite im-agery of GF-2 and GF-7,the AIE-SEG model was used to identify land use types and tree species.The results showed that the overall identification accuracy of land use reached 85.0%(K=0.8),while that of artificial tree species was 85.2%(K=0.8).Among them,Hippophae rhamnoides exhibited the high-est identification accuracy,with both producer's accuracy and user's accuracy reaching 100.0%.Cara-gana korshinskii presented the highest producer's accuracy,which was 95.5%.In terms of user's accu-racy,Hippophae rhamnoides and Salix psammophila achieved the highest values(both 100.0%),fol-lowed by Pinus sylvestris var.mongolica Litv.(95.0%).As for the spatial distribution,the drought-re-sistant and sand-fixing species Caragana korshinskii Kom.was dominant(67.8%),which mainly dis-tributed in the upstream hilly and gully regions.Populus L.(19.4%)and Salix psammophila(10.0%)primarily distributed in the middle and lower reaches.In contrast,Pinus sylvestris var.mongolica Litv.,Hippophae rhamnoides,and Prunus sibirica each accounted for less than 3%of the total area.These find-ings provide important data support for optimizing regional vegetation structure and promoting the rational allocation of water resources.